Triple
T3691941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scream 4 |
E78362
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Peter McNulty |
E356549
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Peter McNulty | Statement: [Scream 4, editedBy, Peter McNulty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter McNulty Context triple: [Scream 4, editedBy, Peter McNulty]
-
A.
Peter McNulty
chosen
Peter McNulty is a film editor known for his work on feature films including the military drama "Megan Leavey."
-
B.
Matthew McNulty
Matthew McNulty is a British actor known for his work in film and television, including roles in series like "Misfits," "The Mill," and "Versailles."
-
C.
Michael McCusker
Michael McCusker is an American film editor known for his work on major Hollywood productions, including the thriller "The Girl on the Train" (2016).
-
D.
Michael Maloney
Michael Maloney is a British actor known for his work in film, television, and theatre, including prominent roles in Shakespearean adaptations.
-
E.
Patrick Doherty
Patrick Doherty was one of the unarmed civil rights marchers shot and killed by British soldiers during the Bloody Sunday massacre in Derry, Northern Ireland, in 1972.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4e783a88190b2837a68b8723a25 |
completed | March 8, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb02366881909d984b54bfc571e9 |
completed | March 14, 2026, 6:06 a.m. |
Created at: March 8, 2026, 3:26 p.m.